recipe bioconductor-splinetimer

Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/splineTimeR.html

License:

GPL-3

Recipe:

/bioconductor-splinetimer/meta.yaml

Links:

biotools: splinetimer, doi: 10.1371/journal.pone.0160791

This package provides functions for differential gene expression analysis of gene expression time-course data. Natural cubic spline regression models are used. Identified genes may further be used for pathway enrichment analysis and/or the reconstruction of time dependent gene regulatory association networks.

package bioconductor-splinetimer

Versions:

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.12.0-1,  1.10.0-0, 

1.26.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.12.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-fis >=1.26.0,<1.27.0

• bioconductor-gseabase >=1.60.0,<1.61.0

• bioconductor-limma >=3.54.0,<3.55.0

• r-base >=4.2,<4.3.0a0

• r-genenet >=1.2.13

• r-gtools

• r-igraph

• r-longitudinal >=1.1.12

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-splinetimer

and update with:

conda update bioconductor-splinetimer

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-splinetimer:<tag>

(see bioconductor-splinetimer/tags for valid values for <tag>)

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